{"id":"W2141081839","doi":"10.1136/bmj.h2298","title":"Antipsychotic drug use in pregnancy: high dimensional, propensity matched, population based cohort study","year":2015,"lang":"en","type":"article","venue":"BMJ","topic":"Maternal Mental Health During Pregnancy and Postpartum","field":"Medicine","cited_by":159,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Institute for Clinical Evaluative Sciences; Women's College Hospital; University of Toronto","funders":"Canadian Institutes of Health Research; Ontario Ministry of Health and Long-Term Care; Institute for Clinical Evaluative Sciences","keywords":"Medicine; Pregnancy; Antipsychotic; Poisson regression; Obstetrics; Gestational diabetes; Population; Propensity score matching; Rate ratio; Cohort study; Medical prescription; Cohort; Confidence interval; Pediatrics; Internal medicine; Schizophrenia (object-oriented programming); Psychiatry; Gestation; Pharmacology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005797587,0.000143193,0.0003464992,0.00009504339,0.00004376649,0.00001839481,0.0000561774,0.00005432362,0.00004059794],"category_scores_gemma":[0.00009064665,0.0001177339,0.00002971595,0.0001365019,0.00001395349,0.0001463318,0.00003320682,0.000169169,0.0000892582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001321558,"about_ca_system_score_gemma":0.00009901469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003826396,"about_ca_topic_score_gemma":0.0005202805,"domain_scores_codex":[0.9984226,0.0001816738,0.0004152273,0.0003010797,0.0004433016,0.0002361705],"domain_scores_gemma":[0.9991779,0.00004159496,0.0001160145,0.0003824091,0.00007578821,0.0002062569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000984875,0.0008425547,0.996566,0.0004336352,0.00001354596,0.0002628129,0.0001528145,0.00007486808,0.000007884521,0.00001554224,0.0005679043,0.00007756346],"study_design_scores_gemma":[0.003026075,0.0002739869,0.991658,0.004233763,0.00003708032,0.00002776581,0.00002087172,0.0003281858,0.0001710748,0.00006575005,0.00003104711,0.0001264457],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994263,0.0001191897,0.00000475149,0.001189503,0.0006096841,0.00362314,0.000005563374,0.00006227936,0.0001228895],"genre_scores_gemma":[0.9968609,0.000003504511,0.0005071626,0.0005449891,0.00006773938,0.0001330925,0.0000589103,0.00002086445,0.001802795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004908046,"threshold_uncertainty_score":0.5784392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06854512327624618,"score_gpt":0.3395143315866953,"score_spread":0.2709692083104491,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}